资源列表
K-meansbased-on-image-segmentation
- 基于K-means聚类算法的图像分割 代码及实验测试结果-K-means clustering algorithm based on image segmentation code and some experimental results
struct
- 常用的计算机数据结构，包括堆、队列、链表等以及他们的基本操作-Commonly used in computer data structures, including the heap, queues, linked lists, as well as their basic operating
pdf-and-cdf
- This is a simple scr ipt two illustrate the concepts of Probability density function(pdf) cumulative density function (cdf). Two help pdfs are also included to understand the pdf and cdf concepts.
Easychips.06
- the easy way to check IC without opening it-the easy way to check IC without opening it
dsfds
- 需求稀少情况下随机动态装卸混合问题研究.-Demand under rare conditions stochastic dynamic loading and unloading of mixed problem research
ElectromagneticFields.rar
- 采用有限差分法计算屏蔽微带传输线的电位及其电容，程序由matlab实现,Finite difference method using shielded microstrip transmission line potential and its capacitance, procedures to achieve by the matlab
unite-the-fruits
- 在一个果园里，多多已经将所有的果子打了下来，而且按果子的不同种类分成了不同的堆。多多决定把所有的果子合成一堆。 每一次合并，多多可以把两堆果子合并到一起，消耗的体力等于两堆果子的重量之和。可以看出，所有的果子经过n-1次合并之后，就只剩下一堆了。多多在合并果子时总共消耗的体力等于每次合并所耗体力之和。 因为还要花大力气把这些果子搬回家，所以多多在合并果子时要尽可能地节省体力。假定每个果子重量都为1，并且已知果子的种类数和每种果子的数目，你的任务是设计出合并的次序方案，使多多耗
Parrecasting
- 混沌粒子群算法的神经网络短时交通流预测Particle swarm optimization based on chaotic neural network short-term traffic flow forecasting-Particle swarm optimization based on chaotic neural network short-term traffic flow forecasting
tuxaingchulishiiyan
- 对一副测试图像进行加各种噪声，然后进行多帧平均，中值滤波，均值滤波，维纳滤波，理想低通滤波，巴特沃斯低通，带通滤波，自适应滤波九种方法处理，并分析结果，得出各种滤波方法的优缺点。包括实验报告-Plus a pair of test images of all kinds of noise, and then multi-frame averaging, median filtering, mean filtering, Wiener filter, the ideal low-pass filt
mat
- 对matlab图像及视频处理函数的功能介绍和一些例子。
46584_AUPEC2001_DTC
- DTC in electrical cars application
matlab-learning
- 这是介绍matlab使用的资料，简单实用，可以提供快速学习，简单易懂，非常好的东西-This is to introduce the data used matlab, simple and practical, can provide fast learning, easy to understand, very good thing